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Paper Abstract and Keywords
Presentation 2015-03-04 13:40
The Geographical Origin Estimation of Malware Using Language Information
Masaru Kawakita, Shigeyoshi Shima (NEC) ICSS2014-88
Abstract (in Japanese) (See Japanese page) 
(in English) Cyber attack using malware has become a social problem, it had an impact on the decision in the nation. In the conventional methods that evaluates for a file whether is malware or not, anyone did not know which nation or organization had attacked. Regardless of use or non-use of the network infrastructures and creation toolkits, the malwares often include some attacker’s claims with geographical information. In this paper, for the purpose of estimating malware’s geographical origin, I propose the estimation method of country of origin using Kernel-Based SVM of which the feature vectors are the locale ID of the resource, the Unicode Block in strings, the countries by the embedded IP address assignment, and the timestamp and time zone information that include in the malware. In the experiment of a classification problem, we show that our method has 95.8% of accuracy rate.
Keyword (in Japanese) (See Japanese page) 
(in English) Cyber Security / Malware Analysis / Locale / SVM (Support Vector Machine) / Classification / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 489, ICSS2014-88, pp. 151-156, March 2015.
Paper # ICSS2014-88 
Date of Issue 2015-02-24 (ICSS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ICSS  
Conference Date 2015-03-03 - 2015-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Meio Univiersity 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2015-03-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Geographical Origin Estimation of Malware Using Language Information 
Sub Title (in English)  
Keyword(1) Cyber Security  
Keyword(2) Malware Analysis  
Keyword(3) Locale  
Keyword(4) SVM (Support Vector Machine)  
Keyword(5) Classification  
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1st Author's Name Masaru Kawakita  
1st Author's Affiliation NEC Corporation (NEC)
2nd Author's Name Shigeyoshi Shima  
2nd Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2015-03-04 13:40:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # ICSS2014-88 
Volume (vol) vol.114 
Number (no) no.489 
Page pp.151-156 
#Pages
Date of Issue 2015-02-24 (ICSS) 


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